Volume & Issue no: Volume 5, Issue 6, November - December 2016
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Title: |
GARCH (1, 1) Outlier Detection Technique for Review Spam Detection |
Author Name: |
Siddu P. Algur , Jyoti G. Biradar , Prashant Bhat |
Abstract: |
Abstract
With the recent development of web 2.0, the volume of on-line
sales has been increasing in a remarkable pace and has
generated plentiful of user-created content. Among various
types of user-generated data on the web, reviews about stores,
products, businesses, or services written by users are
becoming more and more important due to the word-of-mouth
effect and their impact on influencing customers purchase
decisions. These reviews are important source of information
for the potential customers before deciding to purchase a
product. As a result, websites containing customer reviews are
becoming targets of opinion spam. Spam reviews corrupt the
online review system and confuse the consumers. Hence, a
novel and effective technique GARCH (1,1) model is used in
this work to find review spamicity in the multidimensional
time series reviews of the stores, extracted from review website
resellerratings.com. The experimental results demonstrates
that the method proposed is effective in detection of review
spamicity.
Keywords:- Review spam, outliers, time series,
multidimension, GARCH. |
Cite this article: |
Siddu P. Algur , Jyoti G. Biradar , Prashant Bhat , "
GARCH (1, 1) Outlier Detection Technique for Review Spam Detection" , International Journal of Emerging Trends & Technology in Computer Science (IJETTCS) ,
Volume 5, Issue 6, November - December 2016 , pp.
006-015 , ISSN 2278-6856.
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